Using mobile technologies to create interwoven learning interactions: An intuitive design and its evaluation

Numerous studies have proposed and implemented various innovative designs of mobile learning practices, and several pedagogical affordances of mobile technologies in different subject domains have also been suggested. This study proposes a notion for helping instructors design an innovative mobile learning practice in their subject domain. The proposed design notion, interwoven learning interactions, means that the mobile technologies unobtrusively record specific type of social interactions among learners as digital information, and the digital information is synthesized with the rules and principles of subject content to represent the instructional information. When social interaction among peers enables their stimulation and exploration of subject content as well as display of students' thoughts and reasoning, learning is then constructed on the realms of both physical and social experiences linked with the abstract learning content. To illustrate the proposed notion, a sample design is provided and evaluated. The pilot studies and evaluation results illustrate a clearer picture of the design guidelines and offer supporting evidences of the claimed learning benefits. Implications are provided to shed light on this innovative mobile learning design.

[1]  Kenji Mase,et al.  Activity and Location Recognition Using Wearable Sensors , 2002, IEEE Pervasive Comput..

[2]  Mike Sharples,et al.  Towards a Theory of Mobile Learning , 2005 .

[3]  M. Resnick,et al.  Diving into Complexity: Developing Probabilistic Decentralized Thinking through Role-Playing Activities. , 1998 .

[4]  Pierre Tchounikine,et al.  Flexibility in macro-scripts for computer-supported collaborative learning , 2007, J. Comput. Assist. Learn..

[5]  Brendan Tangney,et al.  Designing collaborative, constructionist and contextual applications for handheld devices , 2006, Comput. Educ..

[6]  Mitchel Resnick,et al.  GroupWear: nametags that tell about relationships , 1998, CHI Conference Summary.

[7]  Marco Kalz,et al.  Mobile as a Mainstream – Towards Future Challenges in Mobile Learning , 2014, Communications in Computer and Information Science.

[8]  Tae-Seong Kim,et al.  Accelerometer’s position independent physical activity recognition system for long-term activity monitoring in the elderly , 2010, Medical & Biological Engineering & Computing.

[9]  A. Aron,et al.  Statistics for Psychology , 1994 .

[10]  D. Keegan,et al.  Three Types of Interaction , 2013 .

[11]  A. Glenberg,et al.  What memory is for: Creating meaning in the service of action , 1997, Behavioral and Brain Sciences.

[12]  Yuh-Shyan Chen,et al.  A mobile learning system for scaffolding bird watching learning , 2003, J. Comput. Assist. Learn..

[13]  U. Wilensky,et al.  Thinking Like a Wolf, a Sheep, or a Firefly: Learning Biology Through Constructing and Testing Computational Theories—An Embodied Modeling Approach , 2006 .

[14]  Marjorie Siegel,et al.  More Than Words: The Generative Power of Transmediation for Learning. , 1995 .

[15]  Jeremy Roschelle,et al.  Keynote paper: Unlocking the learning value of wireless mobile devices , 2003, J. Comput. Assist. Learn..

[16]  Seymour Papert,et al.  Mindstorms: Children, Computers, and Powerful Ideas , 1981 .

[17]  Lynn Ogden,et al.  Collaborative Tasks, Collaborative Children: An analysis of reciprocity during peer interaction at Key Stage 1 , 2000 .

[18]  David R. Moore,et al.  Building Interactivity into Web Courses: Tools for Social and Instructional Interaction. , 1998 .

[19]  Theodore J. Kopcha,et al.  Learner preferences and prior knowledge in learner-controlled computer-based instruction , 2008 .

[20]  J. Bailenson,et al.  The Use of Immersive Virtual Reality in the Learning Sciences: Digital Transformations of Teachers, Students, and Social Context , 2008 .

[21]  Zane L. Berge,et al.  Interaction in Post-Secondary Web-Based Learning , 1999 .

[22]  Alex Pentland,et al.  Real-time American Sign Language recognition from video using hidden Markov models , 1995 .

[23]  Jenny Waycott,et al.  Towards a task model for mobile learning: a dialectical approach , 2006, Int. J. Learn. Technol..

[24]  Gerd Kortuem,et al.  Wearable Communities: Augmenting Social Networks with Wearable Computers , 2003, IEEE Pervasive Comput..

[25]  Marcelo Milrad,et al.  Designing with mobile technologies for enacting the learning of geometry , 2011 .

[26]  Stan Sclaroff,et al.  A Unified Framework for Gesture Recognition and Spatiotemporal Gesture Segmentation , 2009, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[27]  Pauliina Seppälä,et al.  Mobile learning in teacher training , 2003, J. Comput. Assist. Learn..

[28]  E. Hall.  The Silent Language , 1959 .

[29]  Margaret I. Brown,et al.  Using an electronic voting system in logic lectures: one practitioner's application , 2004, J. Comput. Assist. Learn..

[30]  Alejandra Martínez-Monés,et al.  From Mirroring to Guiding: A Review of State of the Art Technology for Supporting Collaborative Learning , 2005, Int. J. Artif. Intell. Educ..

[31]  Steve Benford,et al.  The role of physical representations in solving number problems: A comparison of young children's use of physical and virtual materials , 2010, Comput. Educ..

[32]  Lung-Hsiang Wong,et al.  Vocabulary learning by mobile-assisted authentic content creation and social meaning-making: two case studies , 2010, J. Comput. Assist. Learn..

[33]  Robert Kozma,et al.  Qualitative case studies of innovative pedagogical practices using ICT , 2002, J. Comput. Assist. Learn..

[34]  Miguel Nussbaum,et al.  Computer supported collaborative learning using wirelessly interconnected handheld computers , 2004, Comput. Educ..

[35]  Franz Lehner,et al.  The role of mobile devices in E-Learning first experiences with a wireless E-Learning environment , 2002, Proceedings. IEEE International Workshop on Wireless and Mobile Technologies in Education.

[36]  Patrick Jermann,et al.  Group mirrors to support interaction regulation in collaborative problem solving , 2008, Comput. Educ..

[37]  W. Chen,et al.  How artefacts mediate small-group co-creation activities in a mobile-assisted seamless language learning environment? , 2012, J. Comput. Assist. Learn..

[38]  Marcelo Milrad,et al.  Collaborative design of mathematical activities for learning in an outdoor setting , 2009 .

[39]  Daniel Gatica-Perez,et al.  Automatic nonverbal analysis of social interaction in small groups: A review , 2009, Image Vis. Comput..

[40]  Mitchel Resnick,et al.  Adventures in Modeling: Exploring Complex, Dynamic Systems with StarLogo , 2001 .

[41]  Vanessa Colella,et al.  Participatory Simulations: Building Collaborative Understanding Through Immersive Dynamic Modeling , 2000 .

[42]  Mitchel Resnick,et al.  Things that Blink: Computationally Augmented Name Tags , 1996, IBM Syst. J..

[43]  Nicolas Nova,et al.  A Review of How Space Affords Socio-Cognitive Processes during Collaboration , 2005, PsychNology J..

[44]  Matthew Chalmers,et al.  Seamful interweaving: heterogeneity in the theory and design of interactive systems , 2004, DIS '04.

[45]  M. Moore.  Editorial: Three types of interaction , 1989 .

[46]  Yvonne Rogers,et al.  Let's get physical: The learning benefits of interacting in digitally augmented physical spaces , 2004, Comput. Educ..

[47]  Edith Ackermann,et al.  Perspective-Taking and Object Construction: Two Keys to Learning , 2012 .

[48]  Rolf Pfeifer,et al.  Understanding intelligence , 2020, Inequality by Design.

[49]  Mike Sharples,et al.  Disruptive devices: mobile technology for conversational learning , 2002 .

[50]  湯淺 太一,et al.  20世紀の名著名論:Seymour Papert: Mindstorms:Children Computers and Powerful Ideas Basic Books New York 1980 , 2005 .

[51]  Michael Stefanone,et al.  The Effects of Wireless Computing in Collaborative Learning Environments , 2001, Int. J. Hum. Comput. Interact..